Mac201 data journalism lecture

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<ul><li> 1. Big Data &amp; Journalism MAC201 twitter/rob_jewitt 1 </li> <li> 2. 2009 #iranelection Image: Gilad Lotan, ReTweet Revolution 2 </li> <li> 3. Anatomy of a tweet 3 </li> <li> 4. Overview Intro Database Journalism and Computer Assisted Reporting Data Today : Visualisations and Interactivity How To Be A Data Journalist Ethics? 4 </li> <li> 5. Recent hype Data Journalism Meta Journalism Visualisation Infographics Mash Ups 5 </li> <li> 6. Adam Westbrook I think data-driven journalism is one of the big potential growth areas in the future of journalism. A lot of the forward-thinking discussion about the future of news focuses on the glamorous possibilities, like video journalism and interactivity, but I often see data journalism being ignored. In fact, I believe it is journalism in its truest essence: uncovering and mining through information the public do not have enough time to do themselves, interrogating it, and making sense of it before sharing it with the audience. If more journalists did this (rather than relying on data from press releases) we would be a far more enlightened public. 6 Source link </li> <li> 7. Adam Westbrook My message to the next generation of journalists - or any journalist looking for a new niche or direction - would be to learn the skills and tools of data interrogation. Its not glamorous, but its a skill not many journalists have, and one which will give one an edge in the market. 7 Source link </li> <li> 8. Brian Storm One of our big goals in the storytelling process is to humanize the statistics. Its hard for people to care about numbers, especially large numbers. How do you get your head around the death of 800,000 people in the Rwandan genocide? I think if you meet the individuals - see and hear the stories of the survivors - you can gain a better insight into the tragedy. 8 Source link </li> <li> 9. Data-driven journalism is the future [Journalisms] going to be about poring over data and equipping yourself with the tools to analyse it and picking out what's interesting. And keeping it in perspective, helping people out by really seeing where it all fits together, and what's going on in the country. Sir Tim Berners-Lee, inventor of the Web, 2010 9 </li> <li> 10. Origins 1950s Database Journalism Computer Assisted Reporting (CAR) Very expensive 10 </li> <li> 11. The Indianapolis Star 11 Capital Journal circa 1961 </li> <li> 12. New York Times News Room 12 </li> <li> 13. CBS: 1952, Walter Cronkite Presidential election battle Eisenhower vs Stevenson Remington Rand UNIVAC Early vote returns analysis Predicted a landslide victory Contrary to popular opinion 13 </li> <li> 14. Philip Meyer, Precision Journalism 1969: a journalist must make use of databases and surveys 2002: a journalist has to be a database manager 14 </li> <li> 15. Other notable examples Clarence Jones, The Miami Herald, 1969 Criminal Justice systems David Burnham, The New York Times, 1972 Police crime rates Elliot Jaspin, The Providence Journal, 1986 School bus drivers and criminal records Bill Dedman, The Atlanta Journal, 1988 Pullitzer Prize for The Color of Money 15 </li> <li> 16. Not Database Just Data? 16 </li> <li> 17. 17 </li> <li> 18. 18 </li> <li> 19. 19 Since 2004 </li> <li> 20. 20 </li> <li> 21. Adrian Holovaty (2005) Chicago Transport Authority map + Firefox plug-in + Google Maps = real time updates Chicago Police Department + Google Maps = real time police reports 21 </li> <li> 22. Adrian Holovaty (2006) Now working for the Washington Post A fundamental way newspaper sites need to change Most material collected by journalists is: "structured information: the type of information that can be sliced-and-diced, in an automated fashion, by computers 22 </li> <li> 23. Adrian Holovaty (2006) Traditional journalism Articles as the finished product Data journalism Continually maintained and improved 23 Radical overhaul needed - Employing data - Making data available - Storing data - Coding data = = </li> <li> 24. Maps Everywhere! 24 </li> <li> 25. 25 </li> <li> 26. 26 </li> <li> 27. Maps Everywhere! 2007 Holovaty won $1.1 million from the Knight Foundation for Everyblock 2010 SR2 Blog won most inspirational site accolade 27 </li> <li> 28. 28 </li> <li> 29. 29 link </li> <li> 30. 30 link </li> <li> 31. 31 Link </li> <li> 32. Interactivity Transport For London API Icelandic Ash Cloud and plane tracking AlJazeeras coverage of War on Gaza using Ushahidi Guardians Twitter map of Middle East BBC Interactive on the Spending Review 32 </li> <li> 33. Bella Hurrell, Specials Editor with BBC News Online (2011) Proximity of journalists, designers and developers all working together, sitting alongside each other 33 </li> <li> 34. Bella Hurrell, Specials Editor with BBC News Online (2011) We have found that proximity really important to the success of projects. Although we have done this for a while, increasingly other organisations are reorganising along these lines after coming to realise the benefits of breaking down silos and co-locating people with different skillsets can produce more innovative solutions at a faster pace. 34 </li> <li> 35. Bella Hurrell, Specials Editor with BBC News Online (2011) As data visualisation has come into the zeitgeist, and we have started using it more regularly in our story-telling, journalists and designers on the specials team have become much more proficient at using basic spreadsheet applications like Excel or Google Docs 35 </li> <li> 36. Paul Bradshaw 36 </li> <li> 37. Paul Bradshaw 37 It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that? </li> <li> 38. Paul Bradshaw 38 It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that? The reality is that almost no one is doing all of that, but there are enough different parts of the puzzle for people to easily get involved in, and go from there </li> <li> 39. 39 </li> <li> 40. Dealing with Data (Bradshaw, 2010) 4 crucial aspects 40 1. Finding data 2. Interrogating data 3. Visualizing data 1. Mashing data </li> <li> 41. Link 41 </li> <li> 42. 42 </li> <li> 43. 43 </li> <li> 44. 44 </li> <li> 45. Data visualisation vs data journalism 45 </li> <li> 46. 46 Video </li> <li> 47. New Tools of the Trade? Analysis Excel or Calc sort your data Google Refine clean your dirty data Yahoo Pipes Composition mash-up tool ScraperWiki transforms info from webpages into data R Process and manipulate data Visualisation Google Fusion Tables visualise data on maps, timelines, etc Tableau Public Visualise and share IBMs Many Eyes data visualisation tool Processing create images &amp; interactives Wordle generate word clouds from bulky text 47 </li> <li> 48. Free tools 48 </li> <li> 49. Free tools 49 </li> <li> 50. 50 </li> <li> 51. Summary Is this journalism? Journalism educators doing students a disservice? Journalists replaced by programmers? Wikileaks: no journalist's required? 51 </li> <li> 52. Links and further reading Simon Rogers (2013) Facts are Sacred, London: Faber &amp; Faber 52 </li> <li> 53. 53 Images Knight Foundation, 2008, Sir Tim Berners-Lee talking about the Web at the Newseum Bill on Capitol Hill, 2007, The Rim and the Slot Marion Doss, 2008, Capital...</li></ul>